Data Engineer (m/f)

Vollzeit

Valentinskamp 70, 20355 Hamburg, Germany

Mit Berufserfahrung

04.12.17

Our mission is to disrupt the online lottery business with innovative and engaging products. Product discovery through user testing, prototypes and qualitative research help us validate ideas at an early stage. Quantitative analysis and conversion rate optimization help us to iterate products and improve performance. Self-empowered and autonomous teams foster ownership and a drive to exceed expectations. Collaboration nurtures trust, inventiveness and a willingness to be bold. As a multicultural team with over 150 employees from 15 countries, we develop and run a state of the art e-Commerce platform.

You are joining a cross-functional Business Intelligence Team with experts in Data Warehousing, Reporting and Marketing Analysis. As Data Engineer (m/f) you will be architecting, designing, implementing and running parts of our data environment. And as part of our data team you have the opportunity to strongly influence the way we are collecting, analyzing and using the data. We are working in a high performance production environment with self-organizing cross-functional teams.

Your tasks include but are not limited to:

Be the (co-) architect of our scalable lambda architecture

Implement data streams and processing microservices

Implement interfaces to producers and consumers of data

Support Product Managers and Marketing teams with your knowledge and implementations

Support implementation of our traditional, relational data warehouse

Use-cases based and/or more future related tasks:

Work with Researchers on discovery projects

Support Analysts in defining models

Use external AI-services or implement future AI models

Make big-data toolsets available and usable for the team

What we will offer you:

Work cross-functionally with Software Developers, Product- and Marketing Managers in an agile environment

Strong integration in a team of highly skilled people

Work in an environment with cutting edge technology (e.g. Microservices, Cloud-Architecture, Kafka)

High degree of responsibility and freedom

Realize and test own ideas with MVPs (minimum viable product)

International environment with high degree of variety

Impressive feedback and learning culture living agile values

What you offer us:

Bachelor/Master degree in Informatics, Mathematics, Computer Science or similar with technical or informatics background